|
model: |
|
target: cldm.cldm.ControlLDM |
|
params: |
|
linear_start: 0.00085 |
|
linear_end: 0.0120 |
|
num_timesteps_cond: 1 |
|
log_every_t: 200 |
|
timesteps: 1000 |
|
first_stage_key: "jpg" |
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cond_stage_key: "txt" |
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control_key: "hint" |
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image_size: 64 |
|
channels: 4 |
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cond_stage_trainable: false |
|
conditioning_key: crossattn |
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monitor: val/loss_simple_ema |
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scale_factor: 0.18215 |
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use_ema: False |
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only_mid_control: False |
|
|
|
control_stage_config: |
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target: cldm.cldm.ControlNet |
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params: |
|
image_size: 32 |
|
in_channels: 4 |
|
hint_channels: 3 |
|
model_channels: 320 |
|
attention_resolutions: [4, 2, 1] |
|
num_res_blocks: 2 |
|
channel_mult: [1, 2, 4, 4] |
|
num_heads: 8 |
|
use_spatial_transformer: True |
|
transformer_depth: 1 |
|
context_dim: 768 |
|
use_checkpoint: True |
|
legacy: False |
|
|
|
unet_config: |
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target: cldm.cldm.ControlledUnetModel |
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params: |
|
image_size: 32 |
|
in_channels: 4 |
|
out_channels: 4 |
|
model_channels: 320 |
|
attention_resolutions: [4, 2, 1] |
|
num_res_blocks: 2 |
|
channel_mult: [1, 2, 4, 4] |
|
num_heads: 8 |
|
use_spatial_transformer: True |
|
transformer_depth: 1 |
|
context_dim: 768 |
|
use_checkpoint: True |
|
legacy: False |
|
|
|
first_stage_config: |
|
target: ldm.models.autoencoder.AutoencoderKL |
|
params: |
|
embed_dim: 4 |
|
monitor: val/rec_loss |
|
ddconfig: |
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double_z: true |
|
z_channels: 4 |
|
resolution: 256 |
|
in_channels: 3 |
|
out_ch: 3 |
|
ch: 128 |
|
ch_mult: |
|
- 1 |
|
- 2 |
|
- 4 |
|
- 4 |
|
num_res_blocks: 2 |
|
attn_resolutions: [] |
|
dropout: 0.0 |
|
lossconfig: |
|
target: torch.nn.Identity |
|
|
|
cond_stage_config: |
|
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder |
|
params: |
|
_class_name: ControlNetModel |
|
_diffusers_version: "0.18.0.dev0" |
|
act_fn: silu |
|
attention_head_dim: 8 |
|
block_out_channels: [320, 640, 1280, 1280] |
|
class_embed_type: null |
|
conditioning_embedding_out_channels: [16, 32, 96, 256] |
|
controlnet_conditioning_channel_order: rgb |
|
cross_attention_dim: 768 |
|
down_block_types: ["CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D"] |
|
downsample_padding: 1 |
|
flip_sin_to_cos: true |
|
freq_shift: 0 |
|
global_pool_conditions: false |
|
in_channels: 4 |
|
layers_per_block: 2 |
|
mid_block_scale_factor: 1 |
|
norm_eps: 1e-05 |
|
norm_num_groups: 32 |
|
num_class_embeds: null |
|
only_cross_attention: false |
|
projection_class_embeddings_input_dim: null |
|
resnet_time_scale_shift: "default" |
|
upcast_attention: false |
|
use_linear_projection: false |
